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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis model
+classifier = pipeline("sentiment-analysis")
+
+# Define the function to analyze sentiment
+def analyze_sentiment(text):
+    result = classifier(text)[0]
+    return f"Sentiment: {result['label']}", f"Confidence: {result['score']:.2f}"
+
+# Create a Gradio interface
+demo = gr.Interface(
+    fn=analyze_sentiment,
+    inputs="text",
+    outputs=["text", "text"],
+    title="Sentiment Analyzer",
+    description="Enter a sentence to analyze sentiment (Positive or Negative)."
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+transformers
+torch